Trump Administration Sides With OpenAI in New York Times Copyright Lawsuit
The US government wrote a letter in support of OpenAI’s argument that training AI on others' intellectual property is fair use.
About the Author
Randy New is the founder and editor of AI Governance Watch. He is a FinTech executive with over 30 years of experience in infrastructure, cybersecurity, M&A integration, and regulatory compliance. Randy specializes in cybersecurity intelligence and AI governance.
Randy also publishes Cyber Security Wire and Human vs AI. Learn more about AI Governance Watch and its mission.
What is AI Governance Watch?
AI Governance Watch is a curated news platform that aggregates AI governance, compliance, and regulation news from over 21 trusted sources. It helps professionals track AI policy developments worldwide.
Sources include MIT Technology Review, TechCrunch, The Verge, and specialized AI policy publications. As of 2026, the platform has aggregated 12599+ articles across six categories.
How does AI Governance Watch categorize news?
Articles are automatically categorized into six areas: regulation, policy, ethics, compliance, enforcement, and general AI news. Each category focuses on a specific aspect of AI governance.
- Regulation
- Legislative developments, new AI laws, and regulatory proposals from governments worldwide.
- Policy
- Government policy announcements, executive orders, and strategic AI initiatives.
- Ethics
- AI ethics research, responsible AI practices, bias detection, and fairness in AI systems.
- Compliance
- Corporate compliance requirements, audit frameworks, and conformity assessment guidance.
- Enforcement
- Regulatory enforcement actions, fines, investigations, and compliance violations.
- General
- Broader AI industry news relevant to governance and oversight.
Latest AI Governance Articles (2026)
Recently curated articles on AI regulation, policy, and compliance:
-
-
These Russian Mathematicians Taught AI Models How to Talk to Each Other Without Using Words
A startup called Mostik has a wild new approach to combining the capabilities of AI models.
-
Nearly Three Years on, GovAI Coalition Seeks a Leader
The group, an international organization of governments centered on thoughtfully applying AI, is looking for its first executive director. Until now, San Jose CIO Khaled Tawfik has served as board chair.
-
Amazon’s AI assistant can now spot fake emails from the company
Amazon is trying to combat impersonation scams with a new feature that allows you to use its AI assistant to determine whether an email, text message, or phone call actually came from the company. With the update, you can ask Alexa for Shopping about a message you received, and it will use AI to compare it "against a record of every message Amazon has sent," while also analyzing its contents, formatting, and the sender. As noted by Amazon, the assistant will only confirm that a message is real i
-
Google Pics Tool Creates Pro-Grade Images for Businesses
The AI image-generating tool works inside the vendor’s Workspace platform.
-
Wonderful Raises $550M Series C to Scale the AI Operating System for the Enterprise
Funding will accelerate product development and global deployment of the Wonderful AI OS, as enterprises move from isolated AI use cases to organization-wide transformation. AMSTERDAM, Sept. 2, 2026 — Wonderful today announced the closing of a $550 million Series C funding round at a $5B valuation. The round was led by Insight Partners, with participation from […] The post Wonderful Raises $550M Series C to Scale the AI Operating System for the Enterprise appeared first on AIwire.
-
Apodex Launches 1.1 Model for Complex Professional and Scientific Work
Apodex 1.1 brings reasoning, multi-agent collaboration and built-in verification into a single platform, with a new open-weight model and open-source framework for local deployment REDWOOD CITY, Calif., Sept. 2, 2026 — Apodex has announced the release of Apodex 1.1, a reasoning model and online workbench that can carry complex, multi-step professional, scientific, and financial work […] The post Apodex Launches 1.1 Model for Complex Professional and Scientific Work appeared first on AIwire.
-
Pangram’s Max Spero on why AI detection is harder than ‘Real or Fake’
The internet has a trust problem, and it’s not just because social media feeds are filling up with AI slop. AI-generated text and images are now making their way into job applications, product reviews, and even insurance claims, leaving platforms and users alike scrambling to figure out what’s real. A handful of startups have cropped up in the past couple of […]
-
We’re ‘dangerously close’ to dead internet theory, says Pangram’s CEO
The internet has a trust problem, and it’s not just because social media feeds are filling up with AI slop. AI-generated text and images are now making their way into job applications, product reviews, and even insurance claims, leaving platforms and users alike scrambling to figure out what’s real. A handful of startups have cropped up in the past couple of […]
-
US government sides with OpenAI on issue of training LLMs on copyrighted material
"The United States has a strong interest in continuing to develop a robust and competitive artificial intelligence industry that sets the standard for the practice and procedure of AI use globally," the brief reads.
-
Uber to cut over 3,000 jobs in major global restructuring
The company says cutting roles would make its operations "simpler and faster".
-
Researchers fear safety disaster ahead of OpenAI’s Astra release
OpenAI is on the cusp of releasing its most powerful AI model yet, Astra, following weeks of delays to shore up safety protocols after its agents attacked real targets during testing. As details about the model trickle out, researchers are warning it "may be the single worst development for AI security/safety to date." Shortly after OpenAI said on Tuesday that it had delayed Astra's release to work on safety issues, The Information reported that Astra shows far less of its "thinking" than other
-
The Trump administration is supporting OpenAI in the NYT copyright lawsuit
The Trump administration has intervened in The New York Times' copyright lawsuit against OpenAI, making an argument in favor of the AI lab. The landmark lawsuit, filed in December 2023, alleging that OpenAI unlawfully trained its AI systems on articles from The New York Times and seeks to recoup "billions of dollars" in damages from both Microsoft and OpenAI. This week, the Trump administration filed a statement of interest in the case, supporting OpenAI's argument that it's fair use to train a
-
Wonderful more than doubles its valuation to $5B in under 6 months
Wonderful's $550M Series C was led by Insight Partners, with Salesforce, Index Ventures, IVP, Vine Ventures, 9Yards and Bessemer participating.
-
India’s richest man now wants to turn aging computers into AI-ready PCs
Jio is betting it can turn an aging computer into an AI-ready PC for as little as about $11 for two months.
-
Hugging Face Releases Programmable, Walking Duck Robot
The $399 small-scale robot is the company’s second desktop robot, after Reachy Mini in 2025.
-
The Logical End Point of AI Job Interviews Is Two Bots Talking to Each Other
Christopher was sick of being ghosted by AI recruiters. So he unleashed ChatGPT on his robot interviewer.
-
Google is sending MrBeast into the wilderness, armed with AI
MrBeast will feature Gemini, Google Health, and the Fitbit Air in upcoming videos as part of a multi-year partnership with Google. The deal will kick off with a video featuring Jimmy "MrBeast" Donaldson turning to Gemini for wilderness survival advice: First up on September 5 is a new MrBeast video following Jimmy and his crew as they attempt to survive some of the most extreme and treacherous climates on Earth. Teams will race to navigate three of the planet's most unforgiving landscapes - the
-
Opinion: How to Have 'the AI Talk' as an English Teacher
For teachers trying to impart the value of language, the job now requires them to explain why the struggle to find your own voice is better than turning in grammatically correct sentences that read like smooth cardboard.
-
Motional and MIT AI explains self-driving car decisions
Motional and MIT researchers have built a system that lets self-driving cars explain their decisions in real-time, tackling the black-box problem in autonomous vehicle AI. The work, published in Nature, comes from a team at Motional that includes CEO Laura Major, working alongside researchers from MIT’s Computer Science and Artificial Intelligence Laboratory. Their proposed method, […] The post Motional and MIT AI explains self-driving car decisions appeared first on AI News.
Frequently Asked Questions About AI Governance
What is AI governance?
AI governance is the set of rules, policies, and frameworks that ensure artificial intelligence is developed and used responsibly. It covers ethical guidelines, compliance standards, and oversight mechanisms to keep AI safe, fair, and accountable.
How does the EU AI Act affect businesses?
The EU AI Act requires businesses to classify their AI systems by risk level and meet specific obligations. High-risk systems need conformity assessments, technical documentation, and human oversight. Non-compliance can result in fines up to €35 million or 7% of global turnover.
What is the NIST AI Risk Management Framework?
The NIST AI RMF is a voluntary U.S. framework that helps organizations identify, assess, and mitigate AI-related risks. It is built around four core functions: Govern, Map, Measure, and Manage.
Why is AI compliance important?
AI compliance is critical because governments worldwide are actively enforcing AI regulations. The EU AI Act carries heavy fines, the U.S. has expanded federal AI oversight, and countries like Canada, Brazil, and China have enacted AI-specific laws. Non-compliance risks penalties, reputational harm, and operational disruption.
What are the key AI ethics principles?
The key AI ethics principles are fairness, transparency, accountability, privacy, safety, human oversight, and inclusiveness. These principles are reflected in major frameworks including the OECD AI Principles and the EU Ethics Guidelines for Trustworthy AI.
How do organizations implement AI risk management?
Organizations implement AI risk management by creating governance structures, running impact assessments, testing for bias, monitoring model performance, and documenting decisions. The NIST AI RMF and ISO/IEC 42001 provide standardized approaches for this process.
What AI regulations exist worldwide?
Major AI regulations include the EU AI Act, U.S. Executive Orders on AI Safety, Canada's AIDA, South Korea's AI Basic Act, China's Generative AI rules, Brazil's AI framework, and Japan's AI guidelines. Over 60 countries have enacted or proposed AI-specific regulations.
What is an AI impact assessment?
An AI impact assessment is a structured evaluation of how an AI system may affect individuals and society. It examines risks such as bias, privacy violations, and safety concerns. The EU AI Act requires mandatory impact assessments for all high-risk AI systems.
What is ISO/IEC 42001?
ISO/IEC 42001 is the international standard for AI management systems. It provides a certification framework that helps organizations establish, implement, and improve their AI governance practices in a structured and auditable way.
What is the AI Bill of Rights?
The AI Bill of Rights is a White House blueprint outlining five principles to protect Americans from AI harms: safe and effective systems, freedom from algorithmic discrimination, data privacy, notice and explanation, and human alternatives and fallback options.
How does AI Governance Watch work?
AI Governance Watch aggregates news from over 21 trusted sources including MIT Technology Review, TechCrunch, and The Verge. Articles are automatically categorized into topics like regulation, policy, ethics, compliance, and enforcement to help professionals track AI governance developments.
What is algorithmic bias in AI?
Algorithmic bias occurs when an AI system produces systematically unfair outcomes due to flawed data or design assumptions. It can lead to discrimination based on race, gender, or other protected characteristics. Detecting and mitigating bias is a core requirement of most AI governance frameworks.
What are the key AI governance frameworks in 2026?
The key AI governance frameworks are the EU AI Act, NIST AI RMF, OECD AI Principles, ISO/IEC 42001, the AI Bill of Rights, and Canada's AIDA. These frameworks set rules for AI risk management, compliance, and ethical use.
| Framework | Region | Status | Focus |
|---|---|---|---|
| EU AI Act | European Union | In Force | Risk-based AI regulation with tiered requirements |
| NIST AI RMF | United States | Active | Voluntary risk management framework (Govern, Map, Measure, Manage) |
| OECD AI Principles | International | Active | International guidelines for trustworthy AI |
| ISO/IEC 42001 | International | Published | AI management system certification standard |
| AI Bill of Rights | United States | Published | Blueprint for protecting civil rights in AI era |
| Canada AIDA | Canada | In Progress | Artificial Intelligence and Data Act |
According to Stanford HAI's AI Index Report, over 60 countries have enacted or proposed AI-specific regulations as of 2026. The trend is toward mandatory compliance requirements rather than voluntary guidelines.
Who publishes AI Governance Watch?
AI Governance Watch was founded by Randy New, a FinTech executive with over 30 years of leadership in infrastructure, cybersecurity, M&A integration, and regulatory compliance. Randy operates at the intersection of financial technology and emerging risk disciplines, with a particular focus on cybersecurity intelligence and AI governance.
Randy New also publishes Cyber Security Wire (cybersecurities.pro) and Human vs AI (humanvsai.tech). AI Governance Watch curates and aggregates AI governance news from authoritative sources including MIT Technology Review, TechCrunch, The Verge, and specialized AI policy publications.
For more information, visit our contact page or subscribe to our newsletter for daily or weekly updates.
Expert Perspectives on AI Governance
"AI technologies can provide substantial benefits, but also pose risks. A responsible approach to AI requires both innovation and guardrails."
"AI actors should respect the rule of law, human rights, democratic values, and diversity, and should implement appropriate safeguards to ensure a fair and just society."
"Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public."
"Artificial intelligence should be a tool for people and be a force for good in society, with the ultimate aim of increasing human well-being."
"The number of AI-related regulations has increased sharply in recent years. In 2023 alone, there were 25 AI-related regulations enacted in the U.S., a significant increase from just one in 2016."
"AI systems must not be used for social scoring or mass surveillance purposes. Member States should ensure that AI systems do not undermine human dignity."
Authoritative References
- NIST AI Risk Management Framework - U.S. National Institute of Standards and Technology
- EU AI Act - European Union Artificial Intelligence Act
- OECD AI Principles - Organisation for Economic Co-operation and Development
- Stanford HAI - Stanford Institute for Human-Centered Artificial Intelligence
- ISO/IEC 42001 - AI Management System Standard
- AI Bill of Rights - White House Blueprint
- Partnership on AI - Multi-stakeholder AI Best Practices